Environmental conditions can change markedly over geographical distances along elevation gradients,making them natural laboratories to study the processes that structure communities.This work aimed to assess the influ...Environmental conditions can change markedly over geographical distances along elevation gradients,making them natural laboratories to study the processes that structure communities.This work aimed to assess the influences of elevation on Tropical Montane Cloud Forest plant communities in the Brazilian Atlantic Forest,a historically neglected ecoregion.We evaluated the phylogenetic structure,forest structure(tree basal area and tree density)and species richness along an elevation gradient,as well as the evolutionary fingerprints of elevation-success on phylogenetic lineages from the tree communities.To do so,we assessed nine communities along an elevation gradient from 1210 to 2310 m a.s.l.without large elevation gaps.The relationships between elevation and phylogenetic structure,forest structure and species richness were investigated through Linear Models.The occurrence of evolutionary fingerprint on phylogenetic lineages was investigated by quantifying the extent of phylogenetic signal of elevation-success using a genus-level molecular phylogeny.Our results showed decreased species richness at higher elevations and independence between forest structure,phylogenetic structure and elevation.We also verified that there is a phylogenetic signal associated with elevation-success by lineages.We concluded that the elevation is associated with species richness and the occurrence of phylogenetic lineages in the tree communities evaluated in Mantiqueira Range.On the other hand,elevation is not associated with forest structure or phylogenetic structure.Furthermore,closely related taxa tend to have their higher ecological success in similar elevations.Finally,we highlight the fragility of the tropical montane cloud forests in the Mantiqueira Range in face of environmental changes(i.e.global warming)due to the occurrence of exclusive phylogenetic lineages evolutionarily adapted to environmental conditions(i.e.minimum temperature)associated with each elevation range.展开更多
为精准、高效改善城市老旧小区居住环境品质,提高其防灾、减灾能力,提出一种基于云模型的老旧小区韧性评价体系。基于韧性理论,对所选老旧小区按照不同年代进行分组,通过实地调研,获得陕西省西安市30组具有代表性的老旧小区特征数据,参...为精准、高效改善城市老旧小区居住环境品质,提高其防灾、减灾能力,提出一种基于云模型的老旧小区韧性评价体系。基于韧性理论,对所选老旧小区按照不同年代进行分组,通过实地调研,获得陕西省西安市30组具有代表性的老旧小区特征数据,参考相关文献及相关专家建议,确定建筑韧性、设施韧性、环境韧性、人员韧性共计4个一级指标、9个二级指标、30个三级指标,构成老旧小区的评价指标体系。采用层次分析法(analytic hierarchy process,AHP)确定各指标的主观权重,采用熵权法(entropy weight method,EWN)和准则去除效果法(method based on the removal effects of criteria,MEREC)确定客观权重,采用组合赋权法确定最终权重,运用MATLAB构建了基于云模型的老旧小区韧性评价体系。基于此评价体系,选取西安市一老旧小区——万庆巷小区进行韧性评价,所得结果能够较准确地反映该小区韧性薄弱环节,表明所建评价体系具有一定的适用性与有效性。展开更多
基金supported this work by granting the doctoral scholarship to Ravi Fernandes Mariano,Carolina Njaime Mendes and Cléber Rodrigo de Souza,and through the master’s scholarship to Aloysio Souza de Mourathe postdoctoral scholarship to Vanessa Leite Rezende+2 种基金The authors also thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico(CNPQ)by project funding(Edital Universal 2014,Process 459739/2014-0)the Instituto Alto-Montana da Serra Fina,the Fundação de AmparoàPesquisa do Estado de Minas Gerais(FAPEMIG)the Fundação Grupo Boticário de ProteçãoàNatureza,and finally the Fundo de Recuperação,Proteção e Desenvolvimento Sustentável das Bacias Hidrográficas do Estado de Minas Gerais(Fhidro).
文摘Environmental conditions can change markedly over geographical distances along elevation gradients,making them natural laboratories to study the processes that structure communities.This work aimed to assess the influences of elevation on Tropical Montane Cloud Forest plant communities in the Brazilian Atlantic Forest,a historically neglected ecoregion.We evaluated the phylogenetic structure,forest structure(tree basal area and tree density)and species richness along an elevation gradient,as well as the evolutionary fingerprints of elevation-success on phylogenetic lineages from the tree communities.To do so,we assessed nine communities along an elevation gradient from 1210 to 2310 m a.s.l.without large elevation gaps.The relationships between elevation and phylogenetic structure,forest structure and species richness were investigated through Linear Models.The occurrence of evolutionary fingerprint on phylogenetic lineages was investigated by quantifying the extent of phylogenetic signal of elevation-success using a genus-level molecular phylogeny.Our results showed decreased species richness at higher elevations and independence between forest structure,phylogenetic structure and elevation.We also verified that there is a phylogenetic signal associated with elevation-success by lineages.We concluded that the elevation is associated with species richness and the occurrence of phylogenetic lineages in the tree communities evaluated in Mantiqueira Range.On the other hand,elevation is not associated with forest structure or phylogenetic structure.Furthermore,closely related taxa tend to have their higher ecological success in similar elevations.Finally,we highlight the fragility of the tropical montane cloud forests in the Mantiqueira Range in face of environmental changes(i.e.global warming)due to the occurrence of exclusive phylogenetic lineages evolutionarily adapted to environmental conditions(i.e.minimum temperature)associated with each elevation range.
文摘为精准、高效改善城市老旧小区居住环境品质,提高其防灾、减灾能力,提出一种基于云模型的老旧小区韧性评价体系。基于韧性理论,对所选老旧小区按照不同年代进行分组,通过实地调研,获得陕西省西安市30组具有代表性的老旧小区特征数据,参考相关文献及相关专家建议,确定建筑韧性、设施韧性、环境韧性、人员韧性共计4个一级指标、9个二级指标、30个三级指标,构成老旧小区的评价指标体系。采用层次分析法(analytic hierarchy process,AHP)确定各指标的主观权重,采用熵权法(entropy weight method,EWN)和准则去除效果法(method based on the removal effects of criteria,MEREC)确定客观权重,采用组合赋权法确定最终权重,运用MATLAB构建了基于云模型的老旧小区韧性评价体系。基于此评价体系,选取西安市一老旧小区——万庆巷小区进行韧性评价,所得结果能够较准确地反映该小区韧性薄弱环节,表明所建评价体系具有一定的适用性与有效性。
